On the Data Products, Data Quality & AI Enablement Stage, we are shifting the conversation completely away from passive storage costs and landing it squarely on active revenue and efficiency gains. To truly democratize decision intelligence across your organization, it’s time to abandon sluggish, centralized pipelines and lean into decentralized models like the Data Mesh.
This highly operational track uncovers the exact mechanics of treating your corporate assets as standalone, reusable Data Products. We will explore how implementing formal Data Contracts between internal engineering teams and business domains completely eliminates the headache of broken pipelines and schema changes. When your data is packaged with clear ownership and quality standards, your teams can spin up new autonomous workflows and analytics tools in record time.
Of course, high value requires uncompromised Data Quality and Data Reliability. This track delivers practical strategies for setting up real-time Data Observability platforms to monitor ingestion health, trace Data Lineage, and catch anomalies before they corrupt customer-facing applications. Learn how to combine automated workflow orchestration with robust DataOps principles to achieve absolute data enablement and maximize your Data Value Management metrics across your workforce.
Tactical Track Highlights
- Enforcing Data Contracts in Production: A 30-minute operational blueprint on creating and automated checking of pipeline agreements between teams.
- Moving from Pipeline to Product: Real-world transition stories from major Nordic enterprises detailing how they restructured their engineering teams into domain-driven data mesh setups.
- Advanced Observability and Lineage Tracing: How to get complete visibility across your ingestion streams to confidently guarantee the integrity of your AI inputs.
Supercharge Your ROI
Pick your favorite sessions on our agenda platform and reserve your conference pass on our tickets page.
Mark your calendars: Data 2030 Summit 2026, October 21-22, Stockholm